Struct genetic_algorithm::population::Population

pub struct Population<T: Genotype> {
    pub chromosomes: Vec<Chromosome<T>>,
}

Fields

chromosomes: Vec<Chromosome<T>>

Implementations

impl<T: Genotype> Population<T>

pub fn new(chromosomes: Vec<Chromosome<T>>) -> Self

pub fn new_empty() -> Self

pub fn merge(&mut self, other: &mut Self)

pub fn size(&self) -> usize

pub fn reset_age(&mut self)

pub fn increment_and_filter_age(&mut self, evolve_config: &EvolveConfig)

pub fn trim<R: Rng>(&mut self, remaining_percentage: f32, rng: &mut R)

pub fn best_chromosome( &self, fitness_ordering: FitnessOrdering, ) -> Option<&Chromosome<T>>

fitness_score is Option and None is least, but invalid as best_chromosome, so filter it out when minimizing the fitness score, otherwise None would end up as best.

pub fn age_mean(&self) -> f32

pub fn fitness_score_stddev(&self) -> f32

pub fn fitness_score_median(&self) -> Option<isize>

pub fn fitness_score_mean(&self) -> f32

pub fn fitness_score_present(&self, fitness_score: Option<isize>) -> bool

pub fn fitness_score_prevalence(&self, fitness_score: Option<isize>) -> usize

pub fn fitness_score_count(&self) -> usize

pub fn fitness_score_uniformity(&self) -> f32

Trait Implementations

impl<T: Clone + Genotype> Clone for Population<T>

fn clone(&self) -> Population<T>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug + Genotype> Debug for Population<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T: Genotype> From<Vec<Chromosome<T>>> for Population<T>

fn from(chromosomes: Vec<Chromosome<T>>) -> Self

Converts to this type from the input type.